此 MCP 可以做什么
Provides research skill instructions, citation formatting, survey sample-size calculations, confidence intervals, and descriptive statistics.
功能
工具
8
工具
confidence_interval
Confidence Interval
Compute a confidence interval for a mean (normal approximation). FREE.
Typical input {"mean": 72.4, "std_dev": 8.1, "n": 64,
"confidence_pct": 95} returns {"mean": 72.4, "margin_of_error":
1.9845, "interval": [70.4155, 74.3845], "note": "..."}.
Use on data already collected, for a mean. Normal approximation, so it is
unreliable on very small or heavily skewed samples. Not for proportions or
two-group comparisons - the data server's ab_test compares two
proportions. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "confidence 90/95/99, n>=2, std_dev>=0"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
只读
幂等
输入模式
{'type': 'object', 'required': ['mean', 'std_dev', 'n'], 'properties': {'n': {'type': 'integer', 'minimum': 2, 'description': 'Sample size; at least 2.'}, 'mean': {'type': 'number', 'description': 'Sample mean.'}, 'std_dev': {'type': 'number', 'minimum': 0, 'description': 'Sample standard deviation; 0 or greater.'}, 'confidence_pct': {'type': 'number', 'default': 95, 'description': 'Confidence level; must be 90, 95, or 99.\nDefault 95.'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
format_citation
Format Citation
Format a citation in APA 7, MLA 9, or Chicago author-date style. FREE.
Typical input {"style": "apa", "authors": ["Curie, Marie"], "year":
1911, "title": "Radium and radioactivity", "container": "Century
Magazine"} returns {"style": "apa", "citation": "Curie, M. (1911).
Radium and radioactivity. Century Magazine.", "note": "..."}.
Use when the source details are already known and only the formatting is
missing. Not for finding or verifying a source. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "style must be apa, mla, or chicago"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
只读
幂等
输入模式
{'type': 'object', 'required': ['style', 'authors', 'year', 'title'], 'properties': {'url': {'type': 'string', 'default': '', 'description': 'Optional URL of the source.'}, 'year': {'type': 'integer', 'description': 'Publication year, e.g. 2024.'}, 'style': {'type': 'string', 'description': 'Citation style: "apa", "mla", or "chicago"\n(case-insensitive).'}, 'title': {'type': 'string', 'description': 'Title of the work being cited.'}, 'authors': {'type': 'array', 'items': {'type': 'string'}, 'minItems': 1, 'description': 'Authors as "Last, First" strings in source order, at\nleast one, e.g. ["Curie, Marie"].'}, 'accessed': {'type': 'string', 'default': '', 'description': 'Optional access date for MLA web sources, e.g.\n"12 Aug. 2026".'}, 'container': {'type': 'string', 'default': '', 'description': 'Optional journal, book, or site name.'}, 'publisher': {'type': 'string', 'default': '', 'description': 'Optional publisher name.'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
get_free_skill
Get Free Skill
Load a product's free gateway skill with its complete instructions. FREE.
Typical input {"slug": "thesis-advisor"} returns {"slug": ...,
"skill": "<skill name>", "instructions": "<full skill text>"}.
Returns exactly one skill - the product's free gateway skill - chosen
automatically from the slug, with no plan required. Use when the caller
wants usable instructions immediately. Not for the product's other skills:
those are named and need get_full_skill with a skill_name, which requires
a paid plan. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "unknown slug '<value>'. Use list_products."}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
只读
幂等
输入模式
{'type': 'object', 'required': ['slug'], 'properties': {'slug': {'type': 'string', 'description': 'Product slug exactly as returned by list_products,\ne.g. "thesis-advisor".'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
get_full_product
Get Full Product
Load one product in full: its persona plus every paid skill. PREMIUM (license).
Typical input {"slug": "thesis-advisor"} returns {"slug": ..., "name":
..., "persona": "<persona text>", "skills": [{"name": ...,
"instructions": ...}, ...], "free_skill": {...}}.
Returns persona plus every skill for one product. Use when the caller
wants the whole product. Not for a single skill (get_full_skill) and not
for a free look, which list_products and get_free_skill provide with no
plan. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "unknown slug '<value>'"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
只读
幂等
输入模式
{'type': 'object', 'required': ['slug'], 'properties': {'slug': {'type': 'string', 'description': 'Product slug exactly as returned by list_products,\ne.g. "thesis-advisor".'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
get_full_skill
Get Full Skill
Load one paid skill's complete instructions from a product. PREMIUM (license).
Typical input {"slug": "thesis-advisor", "skill_name": "Outline
Builder"} returns {"slug": ..., "skill": ..., "instructions": "<full
skill text>"}.
Returns one named skill, selected by skill_name. Use when the caller wants
one specific paid skill. Not for the free gateway skill, which
get_free_skill returns with no plan, and not for every skill at once
(get_full_product). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "unknown slug '<value>'"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
只读
幂等
输入模式
{'type': 'object', 'required': ['slug', 'skill_name'], 'properties': {'slug': {'type': 'string', 'description': 'Product slug exactly as returned by list_products.'}, 'skill_name': {'type': 'string', 'description': 'Exact skill name as listed in that product\'s "skills"\narray from list_products.'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
list_products
List Products
List every product in the Research Desk line with its included skills. FREE.
Takes no arguments. Returns a list of 7 product objects, each {"slug":
"thesis-advisor", "name": ..., "tagline": ..., "skills": ["Skill A",
...], "free_skill": "Gateway Skill Name"}. Use the returned slug values
with get_free_skill, get_full_product, or get_full_skill.
Returns metadata only - no persona text and no skill instructions. Use
when the caller wants to see what this server covers. Not for keyword
search across the whole 138-product catalog, which the catalog server's
search_catalog does, and not for instructions the caller can act on
(get_free_skill). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
只读
幂等
输入模式
{'type': 'object', 'properties': {}, 'additionalProperties': False}
输出模式
{'type': 'object', 'required': ['result'], 'properties': {'result': {'type': 'array', 'items': {'type': 'object', 'additionalProperties': True}}}, 'x-fastmcp-wrap-result': True}
sample_size
Sample Size
Calculate the survey sample size needed for a confidence level and margin. FREE.
Uses maximum variance (p=0.5) with a finite-population correction when
population is given. Typical input {"population": 5000,
"confidence_pct": 95, "margin_pct": 5} returns {"required_sample": 357,
"assumptions": "p=0.5 (max variance), random sampling"}.
Use before collecting data, to size a survey. Not for analyzing data
already collected (stats_describe, confidence_interval). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "confidence_pct must be 90, 95, or 99"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
只读
幂等
输入模式
{'type': 'object', 'properties': {'margin_pct': {'type': 'number', 'default': 5, 'maximum': 50, 'description': 'Acceptable margin of error percentage; above 0 and at\nmost 50. Default 5.', 'exclusiveMinimum': 0}, 'population': {'type': 'integer', 'default': 0, 'description': 'Total population size; 0 (default) means unknown or\nvery large.'}, 'confidence_pct': {'type': 'number', 'default': 95, 'description': 'Confidence level; must be 90, 95, or 99.\nDefault 95.'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
stats_describe
Stats Describe
Describe a numeric dataset: center, spread, quartiles, and outliers. FREE.
Typical input {"numbers": [12, 15, 14, 90, 13]} returns {"n": 5,
"mean": 28.8, "median": 14.0, "std_dev": ..., "min": 12, "max": 90,
"q1": ..., "q3": ..., "iqr_outliers": [90], "skew": "right (mean >
median)"}.
Use as a first summary of one numeric dataset. Not for interval estimates
(confidence_interval) and not for planning a study (sample_size). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "no numbers"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
只读
幂等
输入模式
{'type': 'object', 'required': ['numbers'], 'properties': {'numbers': {'type': 'array', 'items': {'type': 'number'}, 'minItems': 1, 'description': 'The dataset as a list of numbers; at least 1 value.'}}, 'additionalProperties': False}
输出模式
{'type': 'object', 'additionalProperties': True}
历史
近期工具变更
已添加
confidence_interval
2026年9月17日 12:36
已添加
sample_size
2026年9月17日 12:36
已添加
stats_describe
2026年9月17日 12:36
已添加
get_full_skill
2026年9月17日 12:36
已添加
get_full_product
2026年9月17日 12:36
已添加
format_citation
2026年9月17日 12:36
已添加
get_free_skill
2026年9月17日 12:36
已添加
list_products
2026年9月17日 12:36
发现
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